Gradient estimation in uncertain data
Frank De Jong, Lucas J. van Vliet, Pieter P. Jonker · Research Repository (Delft University of Technology) · 1998
Detecting edges in images which are distorted by unreliable or missing data samples can be done using normalized (differential) convolution. This work presents a comparison between gradient estimation using normalized convolution and gradient estimation using normalized differential convolution with regard to speed, accuracy, and noisesensitivity. 1